Abstract: An online system generates a cluster group and uses membership in the cluster group as an eligibility criteria for presenting a content item. The online system receives a request from a third party system to present the content item and an identification of a target action associated with the content item. The online system also receives information about users who performed a target action and users who performed related actions other than the target action on one or more webpages associated with the third party system. The online system forms a multitask neural network and uses the multitask neural network to train a cluster model based on the received information. The online system applies the cluster model to candidate users who have not performed the target action and determines whether to include a candidate user into the cluster group based on output of the cluster model.

Abstract: The present disclosure provides a method and apparatus for adjusting a virtual face model, an electronic device and a storage medium, so as at least to solve the technical problems of tedious operation steps and poor user experience of conventional solutions for adjusting a virtual image. A specific implementation solution includes: a real human face in a reality scene is identified to obtain a first virtual face model of the real human face in a virtual scene; in response to a face-pinching operation acting on the real human face, the face-pinching operation is identified to determine at least one to-be-adjusted key point in the first virtual face model and an adjustment manner of the at least one to-be-adjusted key point; and the first virtual face model is adjusted to a second virtual face model based on the adjustment manner of the at least one to-be-adjusted key point.

Abstract: An online system generates a cluster group and uses membership in the cluster group as an eligibility criteria for presenting a content item. The online system receives a request from a third party system to present the content item. The online system also receives identification information about users who have visited webpages associated with the third party system and descriptive information associated with the webpages. Based on the descriptive information, the online system extracts tags for the webpages and classifies the webpages into one or more categories that include a category associated with the content item. The online system generates a seed group that includes users who visited webpages in the category associated with the content item. The online system further expands the seed group to a cluster group by applying a cluster model to one or more characteristics of each candidate user not included in the seed group.

Abstract: An information authentication method is provided. The method includes: determining a plurality of first objects in a target image; determining at least one second object in the target image; and executing, for each of the plurality of first objects, a first authentication operation including: determining whether the at least one second object includes a second object associated with the first object; performing first authentication on the second object associated with the first object in response to determining that the at least one second object includes the second object associated with the first object to obtain a first authentication result of the first object; and outputting the first authentication result.

Abstract: An uncovering device of a capsule coffee machine, includes a machine body; a first brewing assembly provided in the machine body, the first brewing assembly which includes a brewing head and a brewing seat, a cover body assembly, a sealing cover, a sliding groove extending from the rear side to the front side of the cover body assembly provided in the lower cover, a sliding shaft provided in the sliding cavity, a connecting rod assembly, wherein both ends of the sliding shaft are located at the opposite sides of the sliding groove; wherein one end of the connecting rod assembly is rotatably connected to the sliding shaft through the sliding groove, another end of the connecting rod is rotatably connected to the brewing seat or the brewing head of the first brewing.

Abstract: An online monitoring device of 3D printing equipment includes a signal collection module, a signal processing module, a feature extraction module, a monitoring module and a knowledge base module. A vibration signal of a preset component of the 3D printing equipment is collected by a vibration sensor. The collected vibration signal of each preset component is converted from an analog signal to a digital signal and the spectrum characteristics are extracted. Based on the spectrum characteristics of each preset component, the operation state type of the preset component is obtained by a comparative analysis model. The knowledge base module is configured to store newly added samples and initial samples of the 3D printing equipment. The initial samples include spectrum characteristic information and corresponding fault category of known faults, and the newly added samples include spectrum characteristic information and corresponding fault category of new faults.

Abstract: A fractional concentration of fetal relevant DNA in a mixture of DNA from a biological sample is determined based on amounts of DNA fragments of a particular size or range of sizes. DNA fragments may be sequenced to obtain sequence reads, and the sequence reads may be aligned to a reference genome to determine sizes of the DNA fragments. Calibration data points (e.g., as a calibration function) indicate a correspondence between values of a parameter providing a statistical measure of a size profile and the fractional concentration of the fetal DNA. For a given sample, a value of the parameter can be determined from DNA fragments of a particular size or range of sizes in a sample. A comparison of the value to the calibration data points can provide the estimate of the fractional concentration of the fetal DNA.

Abstract: A fractional concentration of clinically-relevant DNA in a mixture of DNA from a biological sample is determined based on amounts of DNA fragments at multiple sizes. For example, the fractional concentration of fetal DNA in maternal plasma or tumor DNA in a patient's plasma can be determined. The size of DNA fragments in a sample is shown to be correlated with a proportion of fetal DNA and a proportion of tumor DNA, respectively. Calibration data points (e.g., as a calibration function) indicate a correspondence between values of a size parameter and the fractional concentration of the clinically-relevant DNA. For a given sample, a first value of a size parameter can be determined from the sizes of DNA fragments in a sample. A comparison of the first value to the calibration data points can provide the estimate of the fractional concentration of the clinically-relevant DNA.

Abstract: A fractional concentration of tumor DNA in a plasma sample is estimated by analyzing a biological sample of an organism. One or more sequence reads obtained from a sequencing of the DNA fragment are received. The one or more sequence reads are aligned to a reference genome to obtain aligned locations for both ends of the DNA fragment. Using the aligned locations, a size of the DNA fragment is determined. For each size of a plurality of sizes, an amount of a set of the plurality of DNA fragments from the plasma sample corresponding to the size is determined. A first value of a first parameter is calculated based on the amounts of DNA fragments at multiple sizes. The first value is compared to a calibration value. A fractional concentration of tumor DNA in the plasma sample is estimated based on the comparison.

Abstract: A classification of a level of cancer in an organism is determined by analyzing a biological sample of the organism. The biological sample comprises clinically-relevant DNA and other DNA. At least some of the DNA is cell-free in the biological sample. An amount of a first set of DNA fragments from the biological sample corresponding to each of a plurality of sizes is measured. A first value of a first parameter is calculated based on the amounts of DNA fragments at the plurality of sizes. The first value is compared to a reference value. A classification of a level of cancer in the organism is determined based on the comparison.

Abstract: An online monitoring device of 3D printing equipment includes a signal collection module, a signal processing module, a feature extraction module, a monitoring module and a knowledge base module. A vibration signal of a preset component of the 3D printing equipment is collected by a vibration sensor. The collected vibration signal of each preset component is converted from an analog signal to a digital signal and the spectrum characteristics are extracted. Based on the spectrum characteristics of each preset component, the operation state type of the preset component is obtained by a comparative analysis model. The knowledge base module is configured to store newly added samples and initial samples of the 3D printing equipment. The initial samples include spectrum characteristic information and corresponding fault category of known faults, and the newly added samples include spectrum characteristic information and corresponding fault category of new faults.

Abstract: A classification of a level of cancer in an organism is determined by analyzing a biological sample of the organism. The biological sample comprises clinically-relevant DNA and other DNA. At least some of the DNA is cell-free in the biological sample. An amount of a first set of DNA fragments from the biological sample corresponding to each of a plurality of sizes is measured. A first value of a first parameter is calculated based on the amounts of DNA fragments at the plurality of sizes. The first value is compared to a reference value. A classification of a level of cancer in the organism is determined based on the comparison.

Abstract: A classification of a level of cancer in an organism is determined by analyzing a biological sample of the organism. The biological sample comprises clinically-relevant DNA and other DNA. At least some of the DNA is cell-free in the biological sample. An amount of a first set of DNA fragments from the biological sample corresponding to each of a plurality of sizes is measured. A first value of a first parameter is calculated based on the amounts of DNA fragments at the plurality of sizes. The first value is compared to a reference value. A classification of a level of cancer in the organism is determined based on the comparison.

Abstract: An online system receives one or more aggregation rules associated with a third party system that determine online system users' eligibility for receiving content items provided by the third party system using the online system users' behavior. When an online system user performs actions related to content provided by the third party system via a client device, events describing the actions are generated and communicated from the client device to the online system. The online system evaluates a user's eligibility when a user performs an action by applying an aggregation rule to an event corresponding to the user's action and other events associated with the user corresponding to the user's previous actions. The online system may re-evaluate a user's eligibility at a later time if the user is determined to be ineligible. The online system provides content items to eligible users for presentation.

Abstract: An online system defines a new group of users of the online system for a content provider to use as an audience for its content. The online system generates the audience by first allowing the content provider to specify a subset of the users of the online system, along with a weight for each specified user. The online system then performs a lookalike expansion on the specified subset to obtain a larger group of users of the online system who are similar to the specified subset. This lookalike expansion is weighted using the weights provided for each of the members of the specified subset. Once the resulting expanded audience is generated, the online system performs a content selection process for content to present to users of the online system, where membership in the cluster group is used as an eligibility criteria in the content selection process.

Abstract: Whether a fetus has an aneuploidy associated with a first chromosome is detected using ratios of alleles detected in a maternal sample having a mixture of maternal and fetal DNA. DNA from the sample is enriched for target regions associated with polymorphic loci and then sequenced. Polymorphic loci (e.g., single nucleotide polymorphisms) in the target regions with fetal-specific alleles are identified on a first chromosome and on one or more reference chromosomes. A first ratio of the fetal-specific alleles and shared alleles is determined for the loci on the first chromosome. A second ratio of the fetal-specific alleles and shared alleles is determined for the loci on the reference chromosome(s). A third ratio of the first and second ratio can be compared to a cutoff to determine whether an aneuploidy is present, and whether the aneuploidy is maternally-derived or paternally-derived.

Abstract: Systems, methods, and non-transitory computer readable media are configured to provide a plurality of control modes to selectively control display of content items in a news feed of a user. One or more content items associated with a predetermined entity selected by the user or a predetermined event are identified based on at least one control mode of the plurality of control modes. Display of at least one content item of the one or more content items is provided in the news feed of the user.

Abstract: Whether a fetus has an aneuploidy associated with a first chromosome is detected using ratios of alleles detected in a maternal sample having a mixture of maternal and fetal DNA. DNA from the sample is enriched for target regions associated with polymorphic loci and then sequenced. Polymorphic loci (e.g., single nucleotide polymorphisms) in the target regions with fetal-specific alleles are identified on a first chromosome and on one or more reference chromosomes. A first ratio of the fetal-specific alleles and shared alleles is determined for the loci on the first chromosome. A second ratio of the fetal-specific alleles and shared alleles is determined for the loci on the reference chromosome(s). A third ratio of the first and second ratio can be compared to a cutoff to determine whether an aneuploidy is present, and whether the aneuploidy is maternally-derived or paternally-derived.

Abstract: A classification of a level of cancer in an organism is determined by analyzing a biological sample of the organism. The biological sample comprises clinically-relevant DNA and other DNA. At least some of the DNA is cell-free in the biological sample. An amount of a first set of DNA fragments from the biological sample corresponding to each of a plurality of sizes is measured. A first value of a first parameter is calculated based on the amounts of DNA fragments at the plurality of sizes. The first value is compared to a reference value. A classification of a level of cancer in the organism is determined based on the comparison.